Development and evaluation of intelligent machine tools based on knowledge evolution in M2M environment Dong-Hoon Kim, Jun-Yeob Song, Jong-Hyun Lee, Suk-Keun Cha
The Journal of Mechanical Science and Technology, vol. 23, no. 10, pp.2807-2813, 2009
Abstract : In the near future, the foreseen improvement in machine tools will be in the form of a knowledge evolution-based intelligent
device. The goal of this study is to develop intelligent machine tools having knowledge-evolution capability in
Machine to Machine (M2M) wired and wireless environment. The knowledge evolution-based intelligent machine
tools are expected to be capable of gathering knowledge autonomously, producing knowledge, understanding knowledge,
applying reasoning to knowledge, making new decisions, dialoguing with other machines, etc. The concept of the
knowledge-evolution intelligent machine originated from the process of machine control operation by the sense, dialogue
and decision of a human expert. The structure of knowledge evolution in M2M and the scheme for a dialogue
agent among agent-based modules such as a sensory agent, a dialogue agent and an expert system (decision support
agent) are presented in this paper, and work-offset compensation from thermal change and recommendation of cutting
condition are performed on-line for knowledge-evolution verification.
Keyword :
Machine-tools; Knowledge evolution; Agent; Cooperation; M2M
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